Claude Opus 4.7 vs Gemini 3.1 Pro: Per-Request Cost for 100M-Token RAG Pipelines

Claude Opus 4.7 vs Gemini 3.1 Pro
Complete Comparison: 100,000 input tokens × 1,000 output tokens
Comparison Mode
⚡ 50% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Opus 4.7
Anthropic
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (50% cached)
Input Tokens 100,000 100,000
Output Tokens 1,000 1,000
Cost Breakdown
Input Cost $0.125000 (rounded ~ $0.13)Worst $0.100000Best
Output Cost $0.006250 (rounded ~ $0.01)Worst $0.006000 (rounded ~ $0.01)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.075000 (rounded ~ $0.08) Most Expensive $0.061000 (rounded ~ $0.06) Best Value
Processing Time 6 minutes, 36.41 seconds Slowest 4 minutes, 17.73 seconds Fastest
Tokens per Second 260Slowest 400Fastest
Time to First Token 400ms Worst 220ms Best
Cost per 1K tokens $0.000743Worst $0.000604Best
Tokens per Dollar 1,346,667Worst Value 1,655,738Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.250000Worst $1.000000Best
Output Cost / 1M (Base) $6.250000Worst $6.000000Best
Input Cost / 1M (Optimized) $0.625000 (rounded ~ $0.63)Worst
Optimizations: 50.0% batch
$0.500000Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $3.125000 (rounded ~ $3.13)Worst
Optimizations: 50.0% batch
$3.000000Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

Claude Opus 4.7
AnthropicMax Context: 1,000,000 tokens
$5 / $25 per 1M tokens
▼
▼
Use Batch API (50% discount)
50%
Provider-specific multipliers applied after all calculations
Enable for cache discounts
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.

Calculate Token Costs

$0.075000 Total Cost
$0.062500 Input Cost
$0.006250 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
101,000Total Tokens
$0.000743Cost per 1K
1,346,667Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

6m 36s Processing Time
260 Tokens/Second
400ms Time to First Token
255 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data
First 50 hours free, $0.05/hour after
🧠 Reasoning & Thinking
Manual thinking tokens (billed at output rate)
🔧 Special Modes
Enable 6.0x Fast Mode multiplier
📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
Fee per source cited
🎤 Realtime Audio & Video
Session length for billing
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Claude Opus 4.7 Anthropic 1000000

$0.075000 (rounded ~ $0.08)
Total Cost
⚡ 50% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.131250 (rounded ~ $0.13) Input: $0.125000 (rounded ~ $0.13)
Output: $0.006250 (rounded ~ $0.01)
Optimized Cost $0.075000 (rounded ~ $0.08) Input: $0.125000 (rounded ~ $0.13)
Output: $0.006250 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.056250 (rounded ~ $0.06) 42.9% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.125000 (rounded ~ $0.13)
  • Output Cost: $0.006250 (rounded ~ $0.01)
  • Total Cost: $0.075000 (rounded ~ $0.08)
  • Cost per 1K tokens: $0.000743
  • Tokens per dollar: 1,346,667 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 260 tokens per second and 400ms time to first token:

  • Processing Time: 6 minutes, 36.41 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 255 tokens/second (temperature-adjusted)

Best Use Cases

Claude for precision-critical legal reasoning; Gemini for large-scalelong-context document ingestion and synthesis.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Opus 4.7. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

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Gemini 3.1 Pro Google 2000000

$0.061000 (rounded ~ $0.06)
Total Cost
⚡ 50% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.106000 (rounded ~ $0.11) Input: $0.100000
Output: $0.006000 (rounded ~ $0.01)
Optimized Cost $0.061000 (rounded ~ $0.06) Input: $0.100000
Output: $0.006000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.045000 (rounded ~ $0.05) 42.5% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Standard
tier1 pricing based on 0 tokens

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.100000
  • Output Cost: $0.006000 (rounded ~ $0.01)
  • Total Cost: $0.061000 (rounded ~ $0.06)
  • Cost per 1K tokens: $0.000604
  • Tokens per dollar: 1,655,738 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 220ms time to first token:

  • Processing Time: 4 minutes, 17.73 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 392 tokens/second (temperature-adjusted)

Best Use Cases

Claude for precision-critical legal reasoning; Gemini for large-scalelong-context document ingestion and synthesis.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Pro. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to Claude Opus 4.7
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs Gemini 3.1 Pro
🏆 Mistral Small 3
Mistral AI
 $0.001450 Best Value ↓ 98.1% cheaper ↓ 97.6% cheaper
🥈 Grok Code Fast 1
xAI
 $0.003125 ↓ 95.8% cheaper ↓ 94.9% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.003813 ↓ 94.9% cheaper ↓ 93.8% cheaper
#4 Gemini 2.5 Flash
Google
 $0.004750 ↓ 93.7% cheaper ↓ 92.2% cheaper
#5 Mistral Large 3
Mistral AI
 $0.007250 (rounded ~ $0.01) ↓ 90.3% cheaper ↓ 88.1% cheaper
#6 GPT-5.4 mini
OpenAI
 $0.011438 (rounded ~ $0.01) ↓ 84.8% cheaper ↓ 81.3% cheaper
#7 o4-mini Deep Research
OpenAI
 $0.014750 (rounded ~ $0.01) ↓ 80.3% cheaper ↓ 75.8% cheaper
#8 Claude Haiku 4.5
Anthropic
 $0.015000 (rounded ~ $0.02) ↓ 80% cheaper ↓ 75.4% cheaper
#9 Gemini 3.1 Flash
Google
 $0.015250 (rounded ~ $0.02) ↓ 79.7% cheaper ↓ 75% cheaper
#10 o4-mini
OpenAI
 $0.016225 (rounded ~ $0.02) ↓ 78.4% cheaper ↓ 73.4% cheaper
#11 Grok 4.3
xAI
 $0.017813 (rounded ~ $0.02) ↓ 76.3% cheaper ↓ 70.8% cheaper
#12 Gemini 3.5 Flash
Google
 $0.022875 (rounded ~ $0.02) ↓ 69.5% cheaper ↓ 62.5% cheaper
#13 GPT-5.3 Codex Spark
OpenAI
 $0.027563 (rounded ~ $0.03) ↓ 63.3% cheaper ↓ 54.8% cheaper
#14 GPT-5.3 Instant
OpenAI
 $0.027563 (rounded ~ $0.03) ↓ 63.3% cheaper ↓ 54.8% cheaper
#15 Grok 4.20 Beta
xAI
 $0.029000 ↓ 61.3% cheaper ↓ 52.5% cheaper
#16 Gemini 2.5 Pro
Google
 $0.039375 ↓ 47.5% cheaper ↓ 35.5% cheaper
#17 Claude Sonnet 4.6
Anthropic
 $0.045000 (rounded ~ $0.05) ↓ 40% cheaper ↓ 26.2% cheaper
#18 Gemini 3.1 Pro
Google
 $0.061000 (rounded ~ $0.06) ↓ 18.7% cheaper Same price
#19 Claude Opus 4.8
Anthropic
 $0.075000 (rounded ~ $0.08) Same price ↑ 23% more
#20 Claude Opus 4.6
Anthropic
 $0.075000 (rounded ~ $0.08) Same price ↑ 23% more
#21 GPT-5.4
OpenAI
 $0.076250 (rounded ~ $0.08) ↑ 1.7% more ↑ 25% more
#22 GPT-5.4 Thinking
OpenAI
 $0.076250 (rounded ~ $0.08) ↑ 1.7% more ↑ 25% more
#23 GPT-5.5 Instant
OpenAI
 $0.076250 (rounded ~ $0.08) ↑ 1.7% more ↑ 25% more
#24 o3 Deep Research
OpenAI
 $0.147500 (rounded ~ $0.15) ↑ 96.7% more ↑ 141.8% more
#25 GPT-5.5
OpenAI
 $0.152500 (rounded ~ $0.15) ↑ 103.3% more ↑ 150% more
#26 o3 Pro
OpenAI
 $0.295000 (rounded ~ $0.30) ↑ 293.3% more ↑ 383.6% more
#27 GPT-5.2 Pro
OpenAI
 $0.330750 ↑ 341% more ↑ 442.2% more
#28 GPT-5.2 Pro
OpenAI
 $0.330750 ↑ 341% more ↑ 442.2% more
🏆

Mistral Small 3
Mistral AI

$0.001450
vs Claude Opus 4.7: ↓ 98.1%
vs Gemini 3.1 Pro: ↓ 97.6%
🥈

Grok Code Fast 1
xAI

$0.003125
vs Claude Opus 4.7: ↓ 95.8%
vs Gemini 3.1 Pro: ↓ 94.9%
🥉

Gemini 3.1 Flash Lite
Google

$0.003813
vs Claude Opus 4.7: ↓ 94.9%
vs Gemini 3.1 Pro: ↓ 93.8%
#4

Gemini 2.5 Flash
Google

$0.004750
vs Claude Opus 4.7: ↓ 93.7%
vs Gemini 3.1 Pro: ↓ 92.2%
#5

Mistral Large 3
Mistral AI

$0.007250 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 90.3%
vs Gemini 3.1 Pro: ↓ 88.1%
#6

GPT-5.4 mini
OpenAI

$0.011438 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 84.8%
vs Gemini 3.1 Pro: ↓ 81.3%
#7

o4-mini Deep Research
OpenAI

$0.014750 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 80.3%
vs Gemini 3.1 Pro: ↓ 75.8%
#8

Claude Haiku 4.5
Anthropic

$0.015000 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 80%
vs Gemini 3.1 Pro: ↓ 75.4%
#9

Gemini 3.1 Flash
Google

$0.015250 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 79.7%
vs Gemini 3.1 Pro: ↓ 75%
#10

o4-mini
OpenAI

$0.016225 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 78.4%
vs Gemini 3.1 Pro: ↓ 73.4%
#11

Grok 4.3
xAI

$0.017813 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 76.3%
vs Gemini 3.1 Pro: ↓ 70.8%
#12

Gemini 3.5 Flash
Google

$0.022875 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 69.5%
vs Gemini 3.1 Pro: ↓ 62.5%
#13

GPT-5.3 Codex Spark
OpenAI

$0.027563 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 63.3%
vs Gemini 3.1 Pro: ↓ 54.8%
#14

GPT-5.3 Instant
OpenAI

$0.027563 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 63.3%
vs Gemini 3.1 Pro: ↓ 54.8%
#15

Grok 4.20 Beta
xAI

$0.029000
vs Claude Opus 4.7: ↓ 61.3%
vs Gemini 3.1 Pro: ↓ 52.5%
#16

Gemini 2.5 Pro
Google

$0.039375
vs Claude Opus 4.7: ↓ 47.5%
vs Gemini 3.1 Pro: ↓ 35.5%
#17

Claude Sonnet 4.6
Anthropic

$0.045000 (rounded ~ $0.05)
vs Claude Opus 4.7: ↓ 40%
vs Gemini 3.1 Pro: ↓ 26.2%
#18

Gemini 3.1 Pro
Google

$0.061000 (rounded ~ $0.06)
vs Claude Opus 4.7: ↓ 18.7%
vs Gemini 3.1 Pro: Same
#19

Claude Opus 4.8
Anthropic

$0.075000 (rounded ~ $0.08)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↑ 23%
#20

Claude Opus 4.6
Anthropic

$0.075000 (rounded ~ $0.08)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↑ 23%
#21

GPT-5.4
OpenAI

$0.076250 (rounded ~ $0.08)
vs Claude Opus 4.7: ↑ 1.7%
vs Gemini 3.1 Pro: ↑ 25%
#22

GPT-5.4 Thinking
OpenAI

$0.076250 (rounded ~ $0.08)
vs Claude Opus 4.7: ↑ 1.7%
vs Gemini 3.1 Pro: ↑ 25%
#23

GPT-5.5 Instant
OpenAI

$0.076250 (rounded ~ $0.08)
vs Claude Opus 4.7: ↑ 1.7%
vs Gemini 3.1 Pro: ↑ 25%
#24

o3 Deep Research
OpenAI

$0.147500 (rounded ~ $0.15)
vs Claude Opus 4.7: ↑ 96.7%
vs Gemini 3.1 Pro: ↑ 141.8%
#25

GPT-5.5
OpenAI

$0.152500 (rounded ~ $0.15)
vs Claude Opus 4.7: ↑ 103.3%
vs Gemini 3.1 Pro: ↑ 150%
#26

o3 Pro
OpenAI

$0.295000 (rounded ~ $0.30)
vs Claude Opus 4.7: ↑ 293.3%
vs Gemini 3.1 Pro: ↑ 383.6%
#27

GPT-5.2 Pro
OpenAI

$0.330750
vs Claude Opus 4.7: ↑ 341%
vs Gemini 3.1 Pro: ↑ 442.2%
#28

GPT-5.2 Pro
OpenAI

$0.330750
vs Claude Opus 4.7: ↑ 341%
vs Gemini 3.1 Pro: ↑ 442.2%
✨ How recommendations work (v8.6.0): We scan all active models in the registry and only include those that support ALL your current inputs. For token-based models, we check if they can handle your token counts. For special pricing models (OCR, video, audio), we verify they have the correct pricing structure. Features marked requested were in your inputs but not supported by that model. Now using official provider pricing without reseller markups.

Scaling Retrieval-Augmented Generation for Legal Tech

For legal tech engineers, the choice between Claude Opus 4.7 and Gemini 3.1 Pro often comes down to the balance between deep reasoning and context capacity. When processing 100M tokens monthly for complex contract analysis, the difference in architecture becomes a primary factor in both reliability and infrastructure overhead.

Claude Opus 4.7 excels in agentic reasoning, making it the preferred choice for tasks that require high adherence to complex instructions and consistent output formatting. Its ability to navigate dense legal jargon and maintain architectural coherence across large files is a significant advantage when the goal is precision over pure speed.

Gemini 3.1 Pro, conversely, offers a massive context window and strong multimodal capabilities. For RAG pipelines that need to ingest massive document sets or entire repositories without heavy chunking, Gemini’s ability to reason over long sequences is unmatched. It is particularly effective for teams that need to surface relationships across vast, disparate data sources quickly.

Engineers should choose Claude when the task demands high-fidelity, nuanced interpretation of individual contract clauses. Gemini is the better fit when the pipeline must synthesize information from entire document libraries or when multi-step agentic workflows require extensive token-efficient lookups. Both models support high-volume pipelines, but their operational strengths differ significantly in practice.

Frequently Asked Questions

How accurate are these AI model cost calculations?
Our calculations are based on official pricing from each provider (Google, OpenAI, Anthropic, Meta, xAI, Perplexity, DeepSeek, Mistral) and are updated regularly. We account for all factors including multimodal inputs, caching discounts, batch API pricing, tool usage multipliers, OCR processing, audio minutes, silence fees, and research mode pricing. Note: Reseller markups and dedicated instance multipliers have been removed to reflect official provider pricing.
How does prompt caching work?
Caching discounts vary by provider: Google and OpenAI offer 90% discounts on cached input tokens. Anthropic uses write (1.25x) and read (0.10x) multipliers. Savings are applied to the token portion only, not unit-based fees.
How do Market Recommendations work (v8.6.0)?
Our recommendation engine scans the entire model registry and only includes models that support ALL your current input parameters (tokens, images, video, audio, OCR, tools, batch API, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options that can handle your complete workflow. Special pricing models (OCR, video, audio, image generation) are properly handled and only appear when their specific input types are requested. v8.6.0 removes reseller markups (20% buffer) and dedicated instance multipliers to reflect official provider pricing.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 50+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), provides optimization recommendations, and now offers intelligent market matching to find the best alternatives for your specific needs.